The distribution of size of files (measured in lines of code).
Intro
- File size measurements show the distribution of size of files.
- Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
- It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
File Size Overall
- There are 412 files with 52,223 lines of code.
- 0 very long files (0 lines of code)
- 6 long files (3,792 lines of code)
- 73 medium size files (22,756 lines of codeclsfd_ftr_w_mp_ins)
- 109 small files (15,244 lines of code)
- 224 very small files (10,431 lines of code)
Legend:
1001+
501-1000
201-500
101-200
1-100
explore: zoomable circles | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
File Size per Logical Decomposition
primary
Longest Files (Top 50)
| File | # lines | # units |
|---|---|---|
 idaho-camera-traps.py in data_management/importers |
768 | 5 |
postprocess_batch_results.py in api/batch_processing/postprocessing |
766 | 11 |
snapshot_serengeti_lila.py in data_management/importers |
648 | 5 |
manage_api_submission.py in api/batch_processing/data_preparation |
551 | 3 |
train_classifier.py in classification |
546 | 17 |
inat_category_lookup_CCT.p in research/map_data_to_inat |
513 | - |
repeat_detections_core.py in api/batch_processing/postprocessing/repeat_detection_elimination |
497 | 11 |
 Form.Designer.cs in api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp |
488 | 2 |
channel_islands_to_cct.py in data_management/importers |
480 | 7 |
detect_and_crop.py in classification |
474 | 10 |
 index.html in archive |
473 | - |
index.html in research/active_learning/labeling_tool/static/html |
465 | - |
missouri_to_json.py in data_management/importers |
451 | - |
SubsetJsonDetectorOutput.cs in api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp |
450 | 8 |
runapp.py in research/active_learning/labeling_tool |
450 | 18 |
runapp.py in archive |
449 | 18 |
snapshot_safari_importer.py in data_management/importers |
448 | 4 |
train_classifier_tf.py in classification |
447 | 9 |
Form.cs in api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp |
428 | 1 |
inception_v2.py in archive/classification_marcel/tf-slim/nets |
406 | 3 |
eMammalIntegrationWindow.xaml.cs in api/batch_processing/integration/eMammal/WPF-integration-app |
403 | 29 |
s3dg.py in archive/classification_marcel/tf-slim/nets |
386 | 4 |
nasnet.py in archive/classification_marcel/tf-slim/nets/nasnet |
382 | 14 |
make_classification_dataset.py in data_management/databases/classification |
382 | 11 |
inception_v3.py in archive/classification_marcel/tf-slim/nets |
379 | 3 |
train_image_classifier.py in archive/classification_marcel/tf-slim |
368 | 5 |
create_classification_dataset.py in classification |
368 | 6 |
json_validator.py in classification |
364 | 11 |
nasnet_utils.py in archive/classification_marcel/tf-slim/nets/nasnet |
352 | 23 |
run_tf_detector_batch.py in detection |
346 | 9 |
freeze_graph.py in archive/classification_marcel |
337 | 8 |
detect_and_predict_image.py in archive/classification_marcel |
318 | 10 |
utils.py in research/active_learning/DL |
310 | 31 |
evaluate_model.py in classification |
309 | 6 |
visualization_utils.py in visualization |
307 | 12 |
xmp_integration.py in api/batch_processing/integration/digiKam |
304 | 9 |
timelapse_csv_set_to_json.py in data_management/importers |
303 | - |
manage_local_batch.py in api/batch_processing/data_preparation |
302 | 3 |
species_lookup.py in taxonomy_mapping |
302 | 7 |
utils.py in classification/efficientnet |
298 | 27 |
build_imagenet_data.py in archive/classification_marcel/tf-slim/datasets |
294 | 20 |
umn_to_json.py in data_management/importers |
291 | 1 |
model_deploy.py in archive/classification_marcel/tf-slim/deployment |
286 | 21 |
process_species_by_dataset.py in taxonomy_mapping |
285 | 7 |
merge_classification_detection_output.py in classification |
281 | 5 |
umn-pr-analysis.py in research |
278 | 1 |
run_tf_detector.py in detection |
272 | 12 |
subset_json_detector_output.py in api/batch_processing/postprocessing |
267 | 9 |
crop_detections.py in classification |
267 | 6 |
create_tfrecords.py in data_management/tfrecords/utils |
260 | 15 |
Files With Most Units (Top 20)
| File | # lines | # units |
|---|---|---|
utils.py in research/active_learning/DL |
310 | 31 |
eMammalIntegrationWindow.xaml.cs in api/batch_processing/integration/eMammal/WPF-integration-app |
403 | 29 |
utils.py in research/active_learning/deep_learning |
223 | 28 |
utils.py in classification/efficientnet |
298 | 27 |
sqlite_data_loader.py in research/active_learning/DL |
155 | 25 |
nasnet_utils.py in archive/classification_marcel/tf-slim/nets/nasnet |
352 | 23 |
model_deploy.py in archive/classification_marcel/tf-slim/deployment |
286 | 21 |
build_imagenet_data.py in archive/classification_marcel/tf-slim/datasets |
294 | 20 |
hierarchical_clustering_AL.py in research/active_learning/active_learning_methods |
254 | 20 |
sqlite_data_loader_bk.py in research/active_learning/archive |
131 | 20 |
hierarchical_clustering_AL.py in research/active_learning/sampling_methods |
254 | 20 |
eMammalMySQLOps.cs in api/batch_processing/integration/eMammal/WPF-integration-app |
230 | 18 |
runapp.py in archive |
449 | 18 |
runapp.py in research/active_learning/labeling_tool |
450 | 18 |
prepare_api_submission.py in api/batch_processing/data_preparation |
241 | 17 |
train_classifier.py in classification |
546 | 17 |
create_tfrecords.py in data_management/tfrecords/utils |
260 | 15 |
score.py in api/batch_processing/api_core/batch_service |
247 | 14 |
mobilenet.py in archive/classification_marcel/tf-slim/nets/mobilenet |
214 | 14 |
nasnet.py in archive/classification_marcel/tf-slim/nets/nasnet |
382 | 14 |
Files With Long Lines (Top 20)
There are 136 files with lines longer than 120 characters. In total, there are 661 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
index.html in archive |
473 | - | 51 |
index.html in research/active_learning/labeling_tool/static/html |
465 | - | 46 |
Form.Designer.cs in api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp |
488 | 2 | 37 |
runapp.py in archive |
449 | 18 | 28 |
runapp.py in research/active_learning/labeling_tool |
450 | 18 | 28 |
eMammalIntegrationWindow.xaml in api/batch_processing/integration/eMammal/WPF-integration-app |
84 | - | 26 |
detect_and_predict_image.py in archive/classification_marcel |
318 | 10 | 21 |
utils.py in classification/efficientnet |
298 | 27 | 17 |
api_apply_classifier_single_node.py in archive/classification_marcel |
135 | 5 | 16 |
Constants.cs in api/batch_processing/integration/eMammal/WPF-integration-app |
45 | - | 10 |
SubsetJsonDetectorOutput.cs in api/batch_processing/postprocessing/CameraTrapJsonFileProcessingApp |
450 | 8 | 10 |
initialize_pretrain_db.py in research/active_learning/Database |
109 | - | 10 |
initialize_target_db.py in research/active_learning/Database |
82 | - | 9 |
subset_json_detector_output.py in api/batch_processing/postprocessing |
267 | 9 | 8 |
run_backup.py in research/active_learning/archive |
227 | 10 | 8 |
crop_images_from_batch_api_detections.py in research/active_learning/data_preprocessing |
94 | 1 | 8 |
eMammalIntegrationWindow.xaml.cs in api/batch_processing/integration/eMammal/WPF-integration-app |
403 | 29 | 7 |
run_tf_detector_batch.py in detection |
346 | 9 | 7 |
initialize_target_db_from_classification_dataset.py in research/active_learning/Database |
72 | - | 7 |
crop_images_from_coco_bboxes.py in research/active_learning/data_preprocessing |
73 | 1 | 7 |